Friedrich Merz out as Chancellor of GermanyPolymarket historical data and price history
Friedrich Merz out as Chancellor of Germany: a Polymarket politics series with markets recurring annual. Marketlens has captured 4 markets since August 15, 2026, of which 1 resolved, with $2.8M in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.
For the politics archive as a whole, see Polymarket election data.
Data as of 2026-10-05 · Polymarket series Merz Out · slug merz-out
Markets in this series
Backtest this series
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens, Strategy
class MyStrategy(Strategy):
def on_market_start(self, ctx, market, book):
ctx.buy_yes(size=10)
client = MarketLens()
end = datetime.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "merz-out",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Friedrich Merz out as Chancellor of Germany markets are in the archive?
4 markets from August 15, 2026 through now, of which 1 have resolved and 3 are active.
What data exists for each Friedrich Merz out as Chancellor of Germany market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "merz-out" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Friedrich Merz out as Chancellor of Germany market trade?
Average traded volume is $690.2K per market, $2.8M across the series.
Can I backtest strategies on Friedrich Merz out as Chancellor of Germany?
Yes. Pass the slug "merz-out" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Elon Musk # tweets, Will China invade Taiwan, Will the Iranian regime fall, Putin out as President of Russia, Trump out as President, Which party will win the House, or all politics series.
Try it
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$ pip install marketlens